Developing Achievement in Mathematics, Specifically in Elementary Logic, through Brain-Based Learning (BBL) Combined with Skill Practice Exercises for Grade 10 Students
Bibliographic record
Abstract
This research aims to: 1) Develop an effective Brain-Based Learning (BBL) plan combined with skill practice exercises for Grade 10 students, achieving a performance criterion of 70/70; 2) Compare the learning outcomes in elementary logic before and after implementing the BBL approach combined with skill practice exercises for Grade 10 students; 3) Study the satisfaction level of students towards the BBL approach combined with skill practice exercises for Grade 10 students. The sample group consisted of 39 students from Grade 10 room 4 in the first semester of the 2023 academic year, selected through purposive sampling. Research tools included a learning management plan, an achievement test, skill practice exercises, and a satisfaction questionnaire. Data were analyzed using percentages, mean, standard deviation, and dependent samples t-test. The research found that: 1) The BBL-based learning management plan for elementary logic for Grade 10 students was effective, with performance levels of 95.69/81.28, exceeding the set criterion of 70/70; 2) The academic achievement of students who underwent the BBL-based learning in elementary logic for Grade 10 students significantly improved post-learning, at a .05 level of statistical significance; 3) Students were highly satisfied with the BBL-based learning approach combined with skill practice exercises in elementary logic for Grade 10 students, with a mean satisfaction score of 4.86.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".